Report NEP-BIG-2025-05-12

This is the archive for NEP-BIG, a report on new working papers in the area of Big Data. Tom Coupé (Tom Coupe) issued this report. It is usually issued weekly.

Subscribe to this report: email, RSS, or Mastodon, or Bluesky.

Other reports in NEP-BIG

The following items were announced in this report:

• Xavier Gabaix & Ralph S. J. Koijen & Robert J. Richmond & Motohiro Yogo, 2025, "Asset Embeddings," NBER Working Papers, National Bureau of Economic Research, Inc, number 33651, Apr.
• Gazi M. Hassan, 2025, "Climate Hazards and the Health-Remittance Trade-off: Experimental Evidence from Rural Bangladesh," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2025-26, May.
• Wang, Yuyan & Li, Pan & Chen, Minmin, 2025, "The Blessing of Reasoning: LLM-Based Contrastive Explanations in Black-Box Recommender Systems," Research Papers, Stanford University, Graduate School of Business, number 4234, Feb.
• Guy Stephane Waffo Dzuyo & Gaël Guibon & Christophe Cerisara & Luis Belmar-Letelier, 2025, "Linking Industry Sectors and Financial Statements: A Hybrid Approach for Company Classification," Post-Print, HAL, number hal-05031499, Feb.
• Lee, Chaewon & Gates, Kathleen, 2025, "Automated Machine Learning for Classification and Regression: A Tutorial for Psychologists," OSF Preprints, Center for Open Science, number j4xuq_v1, Apr, DOI: 10.31219/osf.io/j4xuq_v1.
• Matthew Smith & Francisco Alvarez, 2025, "Machine Learning for Applied Economic Analysis: Gaining Practical Insights," Working Papers, FEDEA, number 2025-03, Apr.
• Xian Wu, 2025, "Trading Graph Neural Network," Papers, arXiv.org, number 2504.07923, Apr.
• Fredy Pokou & Jules Sadefo Kamdem & Franc{c}ois Benhmad, 2025, "Bridging Econometrics and AI: VaR Estimation via Reinforcement Learning and GARCH Models," Papers, arXiv.org, number 2504.16635, Apr, revised Aug 2025.
• Sohom Ghosh & Sudip Kumar Naskar, 2025, "BASIR: Budget-Assisted Sectoral Impact Ranking -- A Dataset for Sector Identification and Performance Prediction Using Language Models," Papers, arXiv.org, number 2504.13189, Apr.
• Wei Jiao, 2025, "Foreign Signal Radar," Papers, arXiv.org, number 2504.07855, Apr.
• Simon Jehnen & Joaqu'in Ordieres-Mer'e & Javier Villalba-D'iez, 2025, "FinTextSim: Enhancing Financial Text Analysis with BERTopic," Papers, arXiv.org, number 2504.15683, Apr.
• Lidia Ceriani & Chiara Gigliarano & Paolo Verme, 2025, "Optimizing Data-driven Weights In Multidimensional Indexes," Papers, arXiv.org, number 2504.06012, Apr.
• Biewen, Martin & Glaisner, Stefan, 2025, "Using Distributional Random Forests for the Analysis of the Income Distribution," IZA Discussion Papers, IZA Network @ LISER, number 17774, Mar.
• Yunhua Pei & John Cartlidge & Anandadeep Mandal & Daniel Gold & Enrique Marcilio & Riccardo Mazzon, 2025, "Cross-Modal Temporal Fusion for Financial Market Forecasting," Papers, arXiv.org, number 2504.13522, Apr, revised Aug 2025.
• Stella Jia & Abhishek Nagaraj, 2025, "Cloze Encounters: The Impact of Pirated Data Access on LLM Performance," NBER Working Papers, National Bureau of Economic Research, Inc, number 33598, Mar.
• Ben Weidmann & Yixian Xu & David J. Deming, 2025, "Measuring Human Leadership Skills with AI Agents," NBER Working Papers, National Bureau of Economic Research, Inc, number 33662, Apr.
• Dimitrios Kanelis & Lars H. Kranzmann & Pierre L. Siklos, 2025, "The Financial Instability – Monetary Policy Nexus: Evidence from the FOMC Minutes," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2025-25, Apr.
• Ma, Ji, 2025, "Steering Prosocial AI Agents: Computational Basis of LLM's Decision Making in Social Simulation," OSF Preprints, Center for Open Science, number 8p7wg_v1, Apr, DOI: 10.31219/osf.io/8p7wg_v1.
• Darin Christensen & Tamma Carleton & Esther Rolf & Cullen Molitor & Shopnavo Biswas & Karena Yan & Graeme Blair, 2025, "Estimating the Footprint of Artisanal Mining in Africa," NBER Working Papers, National Bureau of Economic Research, Inc, number 33646, Apr.
• Alejandro Lopez-Lira & Yuehua Tang & Mingyin Zhu, 2025, "The Memorization Problem: Can We Trust LLMs' Economic Forecasts?," Papers, arXiv.org, number 2504.14765, Apr, revised Dec 2025.
• Jinhui Li & Wenjia Xie & Luis Seco, 2025, "Dynamic Investment Strategies Through Market Classification and Volatility: A Machine Learning Approach," Papers, arXiv.org, number 2504.02841, Mar.
• Boris Nikolov & Norman Schuerhoff & Sam Wagner, 2025, "AI in Corporate Governance: Can Machines Recover Corporate Purpose?," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 25-23, Mar.
• Mengjie Cheng & Elie Ofek & Hema Yoganarasimhan, 2025, "Balancing Engagement and Polarization: Multi-Objective Alignment of News Content Using LLMs," Papers, arXiv.org, number 2504.13444, Apr, revised Nov 2025.
• David Jaggi & Markus Leippold & Tingyu Yu, 2025, "Real-Time Climate Controversy Detection," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 25-45, Apr.
• Yanampally Abhiram Reddy & Siddhi Agarwal & Vikram Parashar & Arshiya Arora, 2025, "Visualizing Public Opinion on X: A Real-Time Sentiment Dashboard Using VADER and DistilBERT," Papers, arXiv.org, number 2504.15448, Apr, revised Jun 2025.
• Geiger, Felix & Kanelis, Dimitrios & Lieberknecht, Philipp & Sola, Diana, 2025, "Monetary-Intelligent Language Agent (MILA)," Technical Papers, Deutsche Bundesbank, number 01/2025.

Report NEP-BIG-2025-05-12

This is the archive for NEP-BIG, a report on new working papers in the area of Big Data. Tom Coupé (Tom Coupe) issued this report. It is usually issued weekly.

Subscribe to this report: email, RSS, or Mastodon, or Bluesky.

Other reports in NEP-BIG

The following items were announced in this report: